Data analyst resume
Data analyst resume: template, skills, and examples
A data analyst resume should show that you can turn data into decisions. Highlight your tools, the questions you answered, and what the business did with your analysis, then build it with an ATS-friendly template.
What you get
Tools front and centre
Group SQL, Excel, Python, and BI tools so recruiters find them fast.
Projects section
Show portfolio projects with a link, the tools used, and your finding.
Results-focused bullets
Space to describe the decisions your analysis supported.
ATS-friendly
Single-column templates with standard headings that screening systems read.
How it works
- 01
List your tools
SQL, Excel, Python or R, and the BI tools you have used.
- 02
Describe your analysis
The question, the method, and the decision it informed.
- 03
Tailor and download
Match the tools in the posting, then download your PDF.
Skills to include on a data analyst resume
- Querying: SQL (joins, window functions, CTEs) and the databases you have used.
- Spreadsheets: Excel or Google Sheets, including pivot tables, lookups, and Power Query.
- Programming: Python (pandas, NumPy) or R, if you have used them for analysis.
- Visualisation and BI: Power BI, Tableau, Looker Studio, or similar.
- Statistics: descriptive statistics, A/B testing, and regression basics.
- Communication: presenting findings and writing clear summaries for non-technical teams.
Tip: Only list tools you have used on real data. Interviewers often test SQL and Excel live.
Bullet examples that show impact
Built a Power BI sales dashboard from SQL Server data, replacing a weekly manual Excel report for 12 regional managers.
Analysed customer churn with SQL and Python, identifying two onboarding steps linked to early cancellations; the product team redesigned both.
Automated monthly data cleaning in Excel Power Query, cutting report preparation from two days to three hours.
Each bullet names the tool, the work, and the outcome. If you cannot share exact figures, describe the decision your analysis supported.
Data analyst resume for freshers
Without job experience, projects carry your resume. Pick two or three public datasets, ask a clear business question of each, and publish your work on GitHub or a portfolio site. On your resume, describe each project like a job: the question, your method, and your finding.
See resume maker for freshers and skills for your resume for more help.
Frequently asked questions
Should a data analyst resume include a portfolio link?
Yes. A GitHub, Kaggle, or portfolio link lets hiring managers see your queries, notebooks, and dashboards, which is strong evidence for an analyst role.
Which certifications help a data analyst resume?
Relevant certifications in SQL, Excel, Power BI, Tableau, or a recognised data analytics course can help, especially for freshers. List them in a Certifications section with the issuer and year.
Is it really free?
Yes. Building and editing are free, and the Standard template downloads as a free PDF. Premium templates are a one-time payment per template and include PDF and Word downloads. There is no subscription.
Do I need to create an account?
No. Start writing straight away; your draft is saved in your browser. If you buy a premium download, we create your account and email you a sign-in link so your resume is saved.
Helpful guides
- How to List Skills on a Resume (With Examples)Which hard and soft skills to put on a resume, how many to list, where to place them, and how to prove them in your experience section.
- How to Write a Resume With No ExperienceNo work history yet? Learn how students, freshers, and first-time job seekers can build a strong resume from education, projects, internships, and volunteering.
- How to Tailor Your Resume to a Job DescriptionA repeatable 15-minute routine to tailor your resume for each job: find the key requirements, match your experience honestly, and save a version per application.